Explore the Gapminder Dataset with Plotly Express

1. Loading the necessary labraries

import plotly.offline as py
import plotly.graph_objs as go
import pandas as pd
import numpy as np

import plotly.express as px
from plotly.figure_factory import create_table

2. Loading the Data

gapminder = px.data.gapminder()

table = create_table(gapminder.head(10))

py.iplot(table)

type(gapminder)

pandas.core.frame.DataFrame

3. Quick Visualizations with Custom Bar Charts

data_canada = px.data.gapminder().query("country == 'Canada'")
fig = px.bar(data_canada, x='year', y='pop', height=400)
fig.show()

fig = px.bar(data_canada, x='year', y='pop',
            hover_data=['lifeExp','gdpPercap'], color='lifeExp',
            labels={'pop': 'population of Canada'}, height=400)
fig.show()

4. Plot Life Expectancy vs GDP per Capita

gapminder2007 = gapminder.query("year == 2007")
px.scatter(gapminder2007, x="gdpPercap", y="lifeExp")

px.scatter(gapminder2007, x='gdpPercap', y='lifeExp', color='continent')

5. Customize Interactive Bubble Charts

px.scatter(gapminder2007, x='gdpPercap', y='lifeExp', color='continent',
          size="pop", size_max=60, hover_name="country")

6. Create Interactive Animations and Facet Plots

px.scatter(gapminder2007, x="gdpPercap", y="lifeExp", color="continent", size="pop", size_max=60,
          hover_name="country", facet_col="continent", log_x=True)

fig = px.scatter(gapminder, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country",
           size="pop", color="continent", hover_name="country", facet_col="continent",
           log_x=True, size_max=45, range_x=[100,100000], range_y=[25,90])
fig.show()

px.scatter(gapminder, x="gdpPercap", y="lifeExp", color='continent',
          size="pop", size_max=60, hover_name="country", animation_frame='year',
          animation_group="country", log_x=True, range_x=[100,100000],range_y=[25,90],
          labels=dict(pop="Population", gdpPercap="GDP per Capita", lifeExp="Life Expenctancy"))

7. Represent Geographic Data as Animated Maps

px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country",
             animation_frame="year", color_continuous_scale=px.colors.sequential.Plasma,
             projection="natural earth")

px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country",
             animation_frame="year", color_continuous_scale=px.colors.sequential.Plasma,
             projection="orthographic")

fig = px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country", animation_frame="year", range_color=[20,80])
fig.show()

Task 7: Interactive Line Plots and Area Plots

fig = px.line(gapminder, x="year", y="lifeExp", color="continent", line_group="country", hover_name="country",
        line_shape="spline", render_mode="svg")
fig.show()

fig = px.area(gapminder, x="year", y="pop", color="continent", line_group="country")
fig.show()